appvoid/arco-lite

arco lite

arco lite is a passthrough arco model based on danube outputs to keep generality, even though its performance decreased, it's stil competitive to qwen2 at most benchmarks, being mmlu the only reason why is better on average. Note, arco-lite is still un-trained, i'm expecting it to be better after some iterations.

benchmarks

zero-shot evaluations, as you can see is smarter than qwen but without world knowledge, so don't use it for tasks that need factual output.

Parameters	Model	MMLU	ARC	HellaSwag	PIQA	Winogrande	Average
488m	arco-lite	23.22	33.45	56.55	69.70	59.19	48.46
494m	qwen2	44.13	28.92	49.05	69.31	56.99	49.68

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
    - model: appvoid/arco
      layer_range: [0, 14]
  - sources:
    - model: h2oai/h2o-danube3-500m-base
      layer_range: [15, 16]

merge_method: passthrough
dtype: float16